Pinned Repositories
AE-Com-Roadmap
Collections of Papers and Codes about Communication Systems Built by Autoencoder
Applied-Deep-Learning-with-Keras
Deep Learning examples with Keras.
Autoencoder_communication_system_WGAN_Channel-estimation
Master Thesis compairing Communicationsystems Baised on GAN and baised on MI
Deep-Learning-and-Communications-Systems
Related to ECE 766 term project
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepLearningEnabledSemanticCommunicationSystems
dit
Python package for information theory.
End-to-End-Learning-of-Communications-Systems-Without-a-Channel-Model
Implementation of research paper: End-to-End Learning of Communications Systems Without a Channel Model
End2End_GAN
Conditional GAN based End-to-End Communication System
MIMO_OFDM
《MIMO-OFDM无线通信技术及MATLAB实现》随书源码
mhalawad's Repositories
mhalawad/MIMO_OFDM
《MIMO-OFDM无线通信技术及MATLAB实现》随书源码
mhalawad/AE-Com-Roadmap
Collections of Papers and Codes about Communication Systems Built by Autoencoder
mhalawad/Autoencoder_communication_system_WGAN_Channel-estimation
Master Thesis compairing Communicationsystems Baised on GAN and baised on MI
mhalawad/Deep-Learning-and-Communications-Systems
Related to ECE 766 term project
mhalawad/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
mhalawad/DeepLearningEnabledSemanticCommunicationSystems
mhalawad/dit
Python package for information theory.
mhalawad/End-to-End-Learning-of-Communications-Systems-Without-a-Channel-Model
Implementation of research paper: End-to-End Learning of Communications Systems Without a Channel Model
mhalawad/End2End_GAN
Conditional GAN based End-to-End Communication System
mhalawad/examples
TensorFlow examples
mhalawad/federated
A framework for implementing federated learning
mhalawad/FL-SNN
Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
mhalawad/LIS-DeepLearning
Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, Ahmed Alkhateeb, arXiv e-prints, p. arXiv:1904.10136, Apr 2019.
mhalawad/Master-Thesis
Source Code to my master's thesis with the topic "End-to-end optimisation of MIMO systems using deep learning autoencoders"
mhalawad/meta-autoencoder
Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"
mhalawad/meta-demodulator
Code for the paper "Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning"
mhalawad/ML_WirelessComm
Machine Learning Applications in Wireless Communications - Project work
mhalawad/ofdm_im
OFDM with Index Modulation (OFDM-IM) with various detection types and imperfect CSI
mhalawad/python-cheatsheet
Comprehensive Python Cheatsheet
mhalawad/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
mhalawad/turboae
Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019
mhalawad/Aalto-DL-for-Physical-Layer
An Introduction to Deep Learning for the Physical Layer vs End-to-End Learning of Communications Systems Without a Channel Model
mhalawad/ALAE
[CVPR2020] Adversarial Latent Autoencoders
mhalawad/autoencoder-ofdm-mimo1
mhalawad/autoencoder_for_physical_layer-1
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
mhalawad/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
mhalawad/meta-autoencoder-without-channel-model
Code for the paper "End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning"
mhalawad/ml-with-python-and-keras
Based off Deep Learning with Python by François Chollet
mhalawad/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
mhalawad/PaperProject
This PaperProject is for my paper, there are so many scripts, to store and control the diffierent versions of scripts.